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Updated 2026-06-17 14:00 UTC·© 2025–2026 RoleSuite
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HR Analytics Specialist (Talent Acquisition)

Paytm · Noida, Uttar Pradesh

Experience Level: 2–4 Years
Location: Noida
Department: Human Resources / Talent Acquisition

Position Overview

We are looking for a data-driven HR Analytics Specialist to join our Talent Acquisition (TA) team. In this role, you will bridge the gap between raw recruitment data and strategic decision-making. You will be responsible for building dynamic dashboards, tracking key recruitment metrics, and translating complex data into compelling stories for senior stakeholders.If you love diving into Excel, automating workflows with modern AI tools, and helping talent teams recruit smarter and faster, we want to hear from you!

Key Responsibilities
Data & Dashboard Management: Design, build, and maintain automated TA dashboards and trackers to monitor key metrics (e.g., Time-to-Hire, Cost-per-Hire, Source Effectiveness, Pipeline Velocity, and Offer Acceptance Rates).
Process Automation: Actively identify manual bottlenecks in recruitment reporting and aggressively push for and implement automated solutions wherever required to drive team efficiency. 
Stakeholder Reporting: Prepare and deliver clear, high-impact presentations and reports for leadership and hiring managers to guide strategic hiring decisions.
Predictive & Trend Analysis: Identify trends, bottlenecks, and opportunities within the recruitment funnel to optimize the candidate journey and recruiter productivity.
Data Hygiene: Audit and maintain the integrity of recruitment data across our Applicant Tracking System (ATS) and internal databases.
Tech Optimization: Leverage Excel and cutting-edge AI tools to automate repetitive reporting tasks, synthesize data summaries, and improve predictive analytics capability.

Required Skills and Qualifications
Experience: 2 to 4 years of experience in HR analytics, people analytics, or business intelligence (specifically supporting a Talent Acquisition or Recruitment function is a massive plus).
Advanced Excel Skills: Mastery of advanced Excel functions is non-negotiable (e.g., VLOOKUP/XLOOKUP, Index/Match, Pivot Tables, Power Query, macros, and complex data modeling).
AI & Automation Savvy: Hands-on experience using AI tools (like ChatGPT, Claude, Microsoft Copilot, or specialized HR analytics AI) for data cleaning, prompt engineering, macro generation, or text analysis.
Data Visualization: Experience with BI tools (Power BI or Tableau) to create visually appealing and easy-to-digest dashboards.
Communication: Exceptional ability to "tell a story with data" and confidently present findings to non-technical stakeholders.
Education: Bachelor’s degree in Human Resources, Data Analytics, Statistics, Business Administration, or a related field.

Nice-to-Have Skills
Familiarity with major ATS platforms (e.g., Greenhouse, Workday, Lever, Taleo).Basic knowledge of SQL or Python for data extraction and manipulation.
What We Offer:Competitive salary and performance bonuses.Comprehensive health, dental, and vision insurance.
Opportunities for continuous learning, especially in the evolving space of AI and HR technology.A collaborative, forward-thinking work environment.

HR pay context

Based on 1,193 disclosed HR salaries on RoleSuite, the role pays a median of $121K/year, with most offers between $91K and $163K (10th–90th percentile: $72K–$198K).

See the full HR salary breakdown →
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